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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2016.01378</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Proteomic Profiling of the Interactions of Cd/Zn in the Roots of Dwarf Polish Wheat (<italic>Triticum polonicum</italic> L.)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/349499/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xiaolu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Chao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Ruijiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Peng</surname> <given-names>Fan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Xiao</surname> <given-names>Xue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zeng</surname> <given-names>Jian</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fan</surname> <given-names>Xing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kang</surname> <given-names>Houyang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sha</surname> <given-names>Lina</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Haiqin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhou</surname> <given-names>Yonghong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Triticeae Research Institute, Sichuan Agricultural University</institution> <country>Sichuan, China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Resources, Sichuan Agricultural University</institution> <country>Sichuan, China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Hanjo A. Hellmann, Washington State University, USA</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ramesh Katam, Florida A&#x00026;M University, USA; Chiew Foan Chin, University of Nottingham Malaysia Campus, Malaysia</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Yonghong Zhou <email>Zhouyh&#x00040;sicau.edu.cn</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Plant Proteomics, a section of the journal Frontiers in Plant Science</p></fn>
<fn fn-type="other" id="fn003"><p>&#x02020;These authors have contributed equally to this work.</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>09</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>7</volume>
<elocation-id>1378</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>05</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>08</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Wang, Wang, Wang, Wang, Peng, Xiao, Zeng, Fan, Kang, Sha, Zhang and Zhou.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Wang, Wang, Wang, Wang, Peng, Xiao, Zeng, Fan, Kang, Sha, Zhang and Zhou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>Cd and Zn have been shown to interact antagonistically or synergistically in various plants. In the present study of dwarf polish wheat (DPW)roots, Cd uptake was inhibited by Zn, and Zn uptake was inhibited by Cd, suggesting that Cd and Zn interact antagonistically in this plant. A study of proteomic changes showed that Cd, Zn, and Cd&#x0002B;Zn stresses altered the expression of 206, 303, and 190 proteins respectively. Among these, 53 proteins were altered significantly in response to all these stresses (Cd, Zn, and Cd&#x0002B;Zn), whereas 58, 131, and 47 proteins were altered in response to individual stresses (Cd, Zn, and Cd&#x0002B;Zn, respectively). Sixty-one differentially expressed proteins (DEPs) were induced in response to both Cd and Zn stresses; 33 proteins were induced in response to both Cd and Cd&#x0002B;Zn stresses; and 57 proteins were induced in response to both Zn and Cd&#x0002B;Zn stresses. These results indicate that Cd and Zn induce differential molecular responses, which result in differing interactions of Cd/Zn. A number of proteins that mainly participate in oxidation-reduction and GSH, SAM, and sucrose metabolisms were induced in response to Cd stress, but not Cd&#x0002B;Zn stress. This result indicates that these proteins participate in Zn inhibition of Cd uptake and ultimately cause Zn detoxification of Cd. Meanwhile, a number of proteins that mainly participate in sucrose and organic acid metabolisms and oxidation-reduction were induced in response to Zn stress but not Cd&#x0002B;Zn stress. This result indicates that these proteins participate in Cd inhibition of Zn uptake and ultimately cause the Cd detoxification of Zn. Other proteins induced in response to Cd, Zn, or Cd&#x0002B;Zn stress, participate in ribosome biogenesis, DNA metabolism, and protein folding/modification and may also participate in the differential defense mechanisms.</p></abstract>
<kwd-group>
<kwd>dwarf polish wheat</kwd>
<kwd>iTRAQ</kwd>
<kwd>cadmium</kwd>
<kwd>zinc</kwd>
<kwd>interaction</kwd>
<kwd>proteomic</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="11"/>
<word-count count="7809"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Environmental toxicity from non-essential heavy metals such as cadmium (Cd), which is released from human activities and other environmental causes, is rapidly increasing (Ahsan et al., <xref ref-type="bibr" rid="B1">2009</xref>). In humans, Cd causes diseases such as osteoporosis and emphysema by damaging the lungs, kidneys, and bones (Kazantzis, <xref ref-type="bibr" rid="B20">2004</xref>; Straif et al., <xref ref-type="bibr" rid="B42">2009</xref>). In plants, Cd damages the photosynthetic apparatus, interrupts respiratory and nitrogen metabolism, and unbalances water and nutrient uptake (Herbette et al., <xref ref-type="bibr" rid="B16">2006</xref>; Balen et al., <xref ref-type="bibr" rid="B3">2011</xref>), ultimately reducing biomass, causing leaf chlorosis, inhibiting root growth, and even leading to plant death (Lin et al., <xref ref-type="bibr" rid="B27">2007</xref>; Yadav, <xref ref-type="bibr" rid="B57">2010</xref>; Lin and Arats, <xref ref-type="bibr" rid="B28">2012</xref>). Additionally, plants can accumulate high Cd contents in their edible parts, which poses a potentially major hazard to human health (Satarug et al., <xref ref-type="bibr" rid="B36">2003</xref>).</p>
<p>Zinc (Zn), an essential metal and a cofactor of numerous plant proteins and enzymes, plays several crucial roles in protein binding, enzyme activity, transcriptional and translational regulation, and signal transduction (Broadley et al., <xref ref-type="bibr" rid="B5">2007</xref>; Lin and Arats, <xref ref-type="bibr" rid="B28">2012</xref>). However, excess Zn can also cause toxicity, as it can damage DNA replication and disrupt enzyme activities and protein folding and function, ultimately inducing chlorosis and inhibiting plant growth and development (Broadley et al., <xref ref-type="bibr" rid="B5">2007</xref>; Lin and Arats, <xref ref-type="bibr" rid="B28">2012</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>).</p>
<p>Cd and Zn coexist naturally in the soil. Due to their physical and chemical similarities (Chesworth, <xref ref-type="bibr" rid="B6">1991</xref>), their uptake and transport in plants use similar pathways (Grant et al., <xref ref-type="bibr" rid="B12">1998</xref>). Many metal transporters that transport both Cd and Zn have been identified, including AtNRAMP3 and AtNRAMP4 (Thomine et al., <xref ref-type="bibr" rid="B45">2000</xref>; Lanquar et al., <xref ref-type="bibr" rid="B25">2010</xref>). In response to Cd and Zn stresses, plants have developed strategies to prevent Cd-induced damage and maintain Zn homeostasis. Therefore, researchers have investigated the various synergistic and/or antagonistic interactions of Cd/Zn and found these interactions to depend on species, external bioavailable metal concentration, tissue type, and developmental stage. For example, some durum and bread wheat show antagonistic interactions of Cd/Zn in which Cd uptake is inhibited by Zn and Zn uptake is inhibited by Cd in roots, stems, and leaves (Hart et al., <xref ref-type="bibr" rid="B14">2002</xref>, <xref ref-type="bibr" rid="B13">2005</xref>; Sun et al., <xref ref-type="bibr" rid="B43">2005</xref>). Conversely, some wheat under field conditions has shown synergistic interactions in which Cd and Zn uptake are promoted by each other (Nan et al., <xref ref-type="bibr" rid="B31">2002</xref>).</p>
<p>However, previous studies on Cd/Zn interactions mainly focused on their transport and biochemical responses (Hart et al., <xref ref-type="bibr" rid="B14">2002</xref>, <xref ref-type="bibr" rid="B13">2005</xref>; Nan et al., <xref ref-type="bibr" rid="B31">2002</xref>; Hassan et al., <xref ref-type="bibr" rid="B15">2005</xref>; Sun et al., <xref ref-type="bibr" rid="B43">2005</xref>). Although proteomic changes in response to Cd or Zn have been successfully investigated using a proteomics approach (Kieffer et al., <xref ref-type="bibr" rid="B21">2008</xref>, <xref ref-type="bibr" rid="B22">2009</xref>; Ahsan et al., <xref ref-type="bibr" rid="B1">2009</xref>; Fukao et al., <xref ref-type="bibr" rid="B11">2011</xref>; Lin and Arats, <xref ref-type="bibr" rid="B28">2012</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>), the molecular mechanisms of Cd/Zn interactions are unknown, which limits our understanding of the interactions of Cd/Zn. Polish wheat (2<italic>n</italic> &#x0003D; 4x &#x0003D; 28, AABB, <italic>Triticum polonicum</italic> L.), which has low genetic similarity with <italic>T. aestivum</italic> (Wang et al., <xref ref-type="bibr" rid="B50">2013</xref>; Michalcov&#x000E1; et al., <xref ref-type="bibr" rid="B30">2014</xref>), accumulates high concentrations of Zn, Fe, and Cu and therefore has attracted the interest of producers and breeders (Wiwart et al., <xref ref-type="bibr" rid="B55">2013</xref>). Meanwhile, dwarf polish wheat (DPW), collected from Tulufan, Xingjiang, China, shows high tolerance to Cd and Zn because its growth is not affected by the accumulation of high concentrations of these metals in seedlings (Wang X. et al., <xref ref-type="bibr" rid="B49">in press</xref>). However, molecular responses to Cd and Zn remain unknown. Since DPW accumulates high concentrations of Cd and Zn in seedlings, it is a useful system for studying Cd/Zn interactions.</p>
<p>The purposes of this study are to understand molecular responses to Cd and Zn stresses, to investigate Cd/Zn interactions in DPW seedlings and to understand the molecular mechanisms of Cd/Zn interactions in DPW roots using isobaric tags for relative and absolute quantification (iTRAQ). iTRAQ is a high-throughput proteomic technology (Karp et al., <xref ref-type="bibr" rid="B19">2010</xref>) that has been successfully used to reveal plant responses to heavy metals (Ahsan et al., <xref ref-type="bibr" rid="B1">2009</xref>; Fukao et al., <xref ref-type="bibr" rid="B11">2011</xref>).</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Plant material and growth conditions</title>
<p>DPW seeds were sterilized with 1% NaOCl and germinated in the dark for 5 days. The seedlings were cultured in full Hoagland nutrient solution in a growth chamber at 25&#x000B0;C with a 16 h-light/8 h-dark cycle. At the two leaf stage, the seedlings were treated with null (CK), 40 &#x003BC;M CdSO<sub>4</sub> (Cd), 800 &#x003BC;M ZnCl<sub>2</sub> (Zn), or 40 &#x003BC;M CdSO<sub>4</sub> &#x0002B; 800 &#x003BC;M ZnCl<sub>2</sub> (Cd&#x0002B;Zn). Two days after treatments, the roots (three biological replications, each replication including 15 plants) were washed with 0.1 &#x003BC;M EDTA and ddH<sub>2</sub>O, snap frozen in liquid nitrogen and stored at &#x02212;80&#x000B0;C for iTRAQ analysis. Other roots and leaves were dried for 2 days at 80&#x000B0;C for measuring metal concentrations.</p>
</sec>
<sec>
<title>Measurement of Cd and Zn concentrations</title>
<p>Cd and Zn concentrations were measured as described by Wang et al. (<xref ref-type="bibr" rid="B52">2014</xref>). Briefly, the dried roots and leaves were ground to particle powders. Then, 0.2 g of powder was digested using concentrated sulfuric acid and hydrogen peroxide at 320&#x000B0;C and then diluted to 50 ml. Metal concentrations were then determined using an atomic absorption spectrometer, Analyst 400 (PerkinElmer, CT, USA). Standard solutions of Cd and Zn were purchased from Fisher Scientific Ltd. (China). All data and figures were analyzed (<italic>t</italic>-test was conducted for the statistical analysis) and drawn using Sigmaplot 12.0.</p>
</sec>
<sec>
<title>Total protein extraction</title>
<p>Roots (two randomly selected biological replications) with 0.1 mg of polyvinylpyrrolidone (PVPP) were ground into powders using liquid nitrogen and then homogenized in Tris-phenol (pH 8.0) and protein extraction buffer (0.7 M sucrose, 0.1 M KCl, 50 mM EDTA, 0.5 M Tris, pH 7.5, 2% &#x003B2;-mercaptoethanol, and 1 mM PMSF). After centrifuging for 20 min at 6000 rpm, the supernatants were collected and re-purified using protein extraction buffer. Proteins were precipitated using ammonium acetate methanol and then washed with methanol and acetone. Finally, protein samples were diluted using RIPA reagent, and protein concentrations were measured using a BCA Assay Kit (Biotech).</p>
</sec>
<sec>
<title>iTRAQ labeling and LC-MS analysis</title>
<p>iTRAQ labeling was performed according to Wu et al. (<xref ref-type="bibr" rid="B56">2013</xref>) with modifications. Briefly, 200 &#x003BC;g of protein from each sample (two biological replications) was reduced, alkylated and then subjected to tryptic hydrolysis. iTRAQ labeling was performed using an iTRAQ&#x000AE; reagents-8plex Kit (Applied Biosystems). Peptides of CK, Cd, Zn, and Cd&#x0002B;Zn samples were labeled singly with the iTRAQ reporters 113, 114, 115, and 116, respectively. LC-MS (TripleTOF5600, Applied Biosystems) analysis was performed as described by Wu et al. (<xref ref-type="bibr" rid="B56">2013</xref>).</p>
</sec>
<sec>
<title>Protein identification and quantification</title>
<p>Protein identification and relative quantification were also performed according to Wu et al. (<xref ref-type="bibr" rid="B56">2013</xref>). Protein Pilot software v. 4.0 (Applied Biosystems) was used to convert the raw data (.wiff) into peak lists (.mgf). Each MS/MS spectrum was searched against the protein database Uniprot-<ext-link ext-link-type="UniProt" xlink:href="147389">147389</ext-link>. The search parameters were as follows: Paragon method: iTRAQ-8plex, Cys alkylation: MMTS, Digestion: Trypsin, Instrument: TripleTOF 5600, ID focus: Biological modifications and Amino acids substitutions, Detected Protein Threshold [Unused ProtScore (Confidence)]: &#x02265; 1.3, Competitor Error Margin (ProtScore): 2.0, and No. Distinct Peptides (Confidence): &#x02265; 95%. The tolerances were specified as &#x000B1; 0.05 Da for peptides and &#x000B1; 0.05 Da for MS/MS fragments. The relative abundance (fold-change ratios of differential abundance between labeled samples), <italic>P</italic>-value, error factor, lower confidence interval and upper confidence interval were calculated using the ProteinPilot software. Proteins containing at least two distinct peptides and fold change ratios &#x02265; 1.5 or &#x02264; 0.67 were considered as more abundant or less abundant proteins, respectively.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Metal concentrations</title>
<p>No Cd was detected in CK (control) samples (Figure <xref ref-type="fig" rid="F1">1A</xref>). Two days after treatment, the Cd concentration in roots treated with Cd (752.55 &#x000B1; 6.51 mg/Kg) was significantly higher (<italic>P</italic> &#x0003C; 0.01) than that in roots treated with Cd&#x0002B;Zn (76.75 &#x000B1; 3.312 mg/Kg; Figure <xref ref-type="fig" rid="F1">1A</xref>). Meanwhile, the Cd concentration in leaves under Cd stress (40.87 &#x000B1; 3.69 mg/Kg) was also significantly higher (<italic>P</italic> &#x0003C; 0.01) than that in leaves under Cd&#x0002B;Zn stress (9.20 &#x000B1; 1.24 mg/Kg; Figure <xref ref-type="fig" rid="F1">1A</xref>). These results indicate that Zn inhibits Cd uptake in roots as well as its transport from roots to shoots.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Metal concentrations in roots and leaves 2 days after treatment. (A)</bold> Cd concentrations; <bold>(B)</bold> Zn concentrations. Values were means &#x000B1; standard error (three biological replications).</p></caption>
<graphic xlink:href="fpls-07-01378-g0001.tif"/>
</fig>
<p>Zn concentrations in the roots were always higher than those in the leaves (Figure <xref ref-type="fig" rid="F1">1B</xref>). Zn concentrations in leaves were similar between Zn (139.26 &#x000B1; 32.12 mg/Kg) and Cd&#x0002B;Zn (147.00 &#x000B1; 20.15 mg/Kg) stresses (Figure <xref ref-type="fig" rid="F1">1B</xref>). In roots treated with Zn (675.36 &#x000B1; 41.67 mg/Kg), the Zn concentration was significantly higher (<italic>P</italic> &#x0003C; 0.01) than that in roots treated with Cd&#x0002B;Zn (557.63 &#x000B1; 26.30 mg/Kg; Figure <xref ref-type="fig" rid="F1">1B</xref>). These results suggest that Cd inhibits Zn uptake in roots but does not affect its transport from root to shoot.</p>
</sec>
<sec>
<title>A total of 432 proteins were altered by Cd, Zn, or Cd&#x0002B;Zn stresses</title>
<p>A total of 960 proteins with one or more distinct peptides and an Unused ProtScore &#x02265; 1.3 (with a peptide confidence &#x02265; 95%) (Data Sheet <xref ref-type="supplementary-material" rid="SM1">1</xref>) were identified from the protein database Uniprot-<ext-link ext-link-type="UniProt" xlink:href="147389">147389</ext-link>. Compared with null, the expression levels of 206 (Data Sheet <xref ref-type="supplementary-material" rid="SM2">2</xref>), 303 (Data Sheet <xref ref-type="supplementary-material" rid="SM3">3</xref>), and 190 (Data Sheet <xref ref-type="supplementary-material" rid="SM4">4</xref>) proteins were altered by Cd, Zn, and Cd&#x0002B;Zn stresses, respectively. Further analysis indicated that these proteins could be grouped into seven sub-groups (Table <xref ref-type="table" rid="T1">1</xref>, Figure <xref ref-type="fig" rid="F2">2</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Some noteworthy proteins identified in differentially interactive groups</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>ID<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></bold></th>
<th valign="top" align="center"><bold>Name</bold></th>
<th valign="top" align="center"><bold>UP<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></bold></th>
<th valign="top" align="center"><bold>No. P<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Ratio</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>CK/Cd</bold></th>
<th valign="top" align="center"><bold>CK/Zn</bold></th>
<th valign="top" align="center"><bold>CK/Cd&#x0002B;Zn</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED IN ALL OF Cd, Zn, And Cd&#x0002B;Zn STRESSES</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">466</td>
<td valign="top" align="left">Beta-1,3-glucanase</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Beta-glucosidase</td>
<td valign="top" align="center">26.16</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">2.09</td>
<td valign="top" align="center">2.68</td>
<td valign="top" align="center">2.73</td>
</tr>
<tr>
<td valign="top" align="left">675</td>
<td valign="top" align="left">Beta-glucosidase</td>
<td valign="top" align="center">2.42</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">4.79</td>
<td valign="top" align="center">22.91</td>
<td valign="top" align="center">2.75</td>
</tr>
<tr>
<td valign="top" align="left">779</td>
<td valign="top" align="left">Glucan endo-1,3-beta-glucosidase 12</td>
<td valign="top" align="center">2.07</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">554</td>
<td valign="top" align="left">Glucose-6-phosphate isomerase</td>
<td valign="top" align="center">3.54</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">2.63</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>GSH metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">540</td>
<td valign="top" align="left">Sulfurtransferase</td>
<td valign="top" align="center">3.61</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">9.12</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">3.13</td>
</tr>
<tr>
<td valign="top" align="left">112</td>
<td valign="top" align="left">ATP sulfurylase</td>
<td valign="top" align="center">8.47</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="left">424</td>
<td valign="top" align="left">Lactoylglutathione lyase</td>
<td valign="top" align="center">4.05</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.53</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">405</td>
<td valign="top" align="left">Glutathione-S-transferase</td>
<td valign="top" align="center">4.06</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left">141</td>
<td valign="top" align="left">Glutaredoxin</td>
<td valign="top" align="center">8.00</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Oxidation-reduction process</bold></td>
</tr>
<tr>
<td valign="top" align="left">908</td>
<td valign="top" align="left">Cationic peroxidase SPC4</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">248</td>
<td valign="top" align="left">Peroxidase 66</td>
<td valign="top" align="center">6.01</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">616</td>
<td valign="top" align="left">Cytochrome c oxidase subunit 6B</td>
<td valign="top" align="center">2.98</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">8.55</td>
<td valign="top" align="center">0.65</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED ONLY IN Cd And Zn STRESSES</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Oxidation-reduction process</bold></td>
</tr>
<tr>
<td valign="top" align="left">230</td>
<td valign="top" align="left">NADH dehydrogenase</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">3.02</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">144</td>
<td valign="top" align="left">Peroxidase 12</td>
<td valign="top" align="center">6.12</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">1.18</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">872</td>
<td valign="top" align="left">Beta-fructofuranosidase</td>
<td valign="top" align="center">2.01</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">1.05</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>SAM metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">258</td>
<td valign="top" align="left">Serine hydroxymethyltransferase</td>
<td valign="top" align="center">6.00</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">1.34</td>
</tr>
<tr>
<td valign="top" align="left">677</td>
<td valign="top" align="left">Spermidine synthase 1</td>
<td valign="top" align="center">2.41</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4.70</td>
<td valign="top" align="center">1.72</td>
<td valign="top" align="center">1.07</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED ONLY IN Cd And Cd&#x0002B;Zn STRESSES</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>SAM metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">519</td>
<td valign="top" align="left">Nicotianamine synthase 2</td>
<td valign="top" align="center">3.89</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">1.60</td>
</tr>
<tr>
<td valign="top" align="left">748</td>
<td valign="top" align="left">S-adenosylmethionine synthase 1</td>
<td valign="top" align="center">2.11</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">2.31</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">1.54</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Ca metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">306</td>
<td valign="top" align="left">Calmodulin-related protein</td>
<td valign="top" align="center">5.07</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">371</td>
<td valign="top" align="left">Xylose isomerase</td>
<td valign="top" align="center">4.19</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.05</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">3.70</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED ONLY IN Cd STRESS</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Oxidation-reduction process</bold></td>
</tr>
<tr>
<td valign="top" align="left">285</td>
<td valign="top" align="left">Ascorbate peroxidase</td>
<td valign="top" align="center">5.52</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">552</td>
<td valign="top" align="left">NADH dehydrogenase iron-sulfur protein 4</td>
<td valign="top" align="center">3.55</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.27</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">313</td>
<td valign="top" align="left">Peroxidase 1</td>
<td valign="top" align="center">4.92</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">356</td>
<td valign="top" align="left">Peroxidase 12</td>
<td valign="top" align="center">4.32</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.25</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">1.43</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Peroxidase 12</td>
<td valign="top" align="center">25.81</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">775</td>
<td valign="top" align="left">Peroxidase 2</td>
<td valign="top" align="center">2.08</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Root peroxidase</td>
<td valign="top" align="center">20.37</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">8.71</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">1.10</td>
</tr>
<tr>
<td valign="top" align="left">1185</td>
<td valign="top" align="left">Frataxin, mitochondrial</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">28.58</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>GSH metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">210</td>
<td valign="top" align="left">Glutamine synthetase cytosolic isozyme 1-2</td>
<td valign="top" align="center">6.30</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">0.74</td>
</tr>
<tr>
<td valign="top" align="left">696</td>
<td valign="top" align="left">Glutathione S-transferase GSTU6</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">135</td>
<td valign="top" align="left">Lactoylglutathione lyase</td>
<td valign="top" align="center">8.00</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">1.06</td>
<td valign="top" align="center">1.06</td>
</tr> <tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">1111</td>
<td valign="top" align="left">Polygalacturonase</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left">357</td>
<td valign="top" align="left">Beta-amylase</td>
<td valign="top" align="center">4.31</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Ca metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">44</td>
<td valign="top" align="left">Calreticulin-like protein</td>
<td valign="top" align="center">12.57</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">430</td>
<td valign="top" align="left">Calcium-binding protein CML27</td>
<td valign="top" align="center">4.04</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">316</td>
<td valign="top" align="left">Calcium-dependent protein kinase</td>
<td valign="top" align="center">4.86</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">1.49</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>SAM metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">410</td>
<td valign="top" align="left">Caffeic acid 3-O-methyltransferase</td>
<td valign="top" align="center">4.06</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">0.95</td>
</tr>
<tr>
<td valign="top" align="left">215</td>
<td valign="top" align="left">Serine hydroxymethyltransferase 1</td>
<td valign="top" align="center">6.26</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.25</td>
<td valign="top" align="center">1.41</td>
<td valign="top" align="center">1.39</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED ONLY IN Zn And Cd&#x0002B;Zn STRESSES</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>GSH metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">731</td>
<td valign="top" align="left">Glutathione S-transferase GSTU6</td>
<td valign="top" align="center">2.14</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">79</td>
<td valign="top" align="left">Glutathione-S-transferase 28e45</td>
<td valign="top" align="center">10.21</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td valign="top" align="left">384</td>
<td valign="top" align="left">Glutaredoxin-S4, mitochondrial</td>
<td valign="top" align="center">4.12</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td valign="top" align="left">472</td>
<td valign="top" align="left">Glutaredoxin-C8</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">1.60</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Oxidation-reduction process</bold></td>
</tr>
<tr>
<td valign="top" align="left">440</td>
<td valign="top" align="left">Peroxidase 12</td>
<td valign="top" align="center">4.01</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">102</td>
<td valign="top" align="left">Peroxidase 2</td>
<td valign="top" align="center">9.16</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">1.92</td>
<td valign="top" align="center">1.77</td>
</tr>
<tr>
<td valign="top" align="left">890</td>
<td valign="top" align="left">Peroxidase 52</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">603</td>
<td valign="top" align="left">Glucan 1,3-beta-glucosidase</td>
<td valign="top" align="center">3.09</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">1.98</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED ONLY IN Zn STRESS</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">298</td>
<td valign="top" align="left">6-phosphogluconate dehydrogenase</td>
<td valign="top" align="center">5.24</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">1.54</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">21</td>
<td valign="top" align="left">Alpha-1,4-glucan-protein synthase</td>
<td valign="top" align="center">17.82</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left">366</td>
<td valign="top" align="left">Alpha-L-arabinofuranosidase 1</td>
<td valign="top" align="center">4.21</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">1.08</td>
</tr>
<tr>
<td valign="top" align="left">1056</td>
<td valign="top" align="left">Beta-glucanase</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">1.42</td>
</tr>
<tr>
<td valign="top" align="left">741</td>
<td valign="top" align="left">Fructose-bisphosphate aldolase 3</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">1.25</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Sucrose synthase 1</td>
<td valign="top" align="center">22.86</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">1.09</td>
<td valign="top" align="center">2.05</td>
<td valign="top" align="center">1.10</td>
</tr>
<tr>
<td valign="top" align="left">205</td>
<td valign="top" align="left">UDP-glucose 6-dehydrogenase</td>
<td valign="top" align="center">6.34</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">192</td>
<td valign="top" align="left">UTP-glucose1-phosphate uridylyltransferase</td>
<td valign="top" align="center">6.56</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.06</td>
<td valign="top" align="center">2.83</td>
<td valign="top" align="center">1.04</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Organic acids metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">178</td>
<td valign="top" align="left">2-oxoglutarate dehydrogenase</td>
<td valign="top" align="center">6.88</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">1.63</td>
<td valign="top" align="center">1.15</td>
</tr>
<tr>
<td valign="top" align="left">58</td>
<td valign="top" align="left">Malate dehydrogenase</td>
<td valign="top" align="center">11.27</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">1.39</td>
</tr>
<tr>
<td valign="top" align="left">225</td>
<td valign="top" align="left">Isocitrate dehydrogenase [NADP]</td>
<td valign="top" align="center">6.15</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1.56</td>
<td valign="top" align="center">1.26</td>
</tr>
<tr>
<td valign="top" align="left">39</td>
<td valign="top" align="left">Aconitate hydratase</td>
<td valign="top" align="center">13.06</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">1.51</td>
<td valign="top" align="center">1.17</td>
</tr>
<tr>
<td valign="top" align="left">82</td>
<td valign="top" align="left">Citrate synthase 4</td>
<td valign="top" align="center">10.14</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.73</td>
</tr>
<tr>
<td valign="top" align="left">376</td>
<td valign="top" align="left">Oxalate oxidase GF-2.8</td>
<td valign="top" align="center">4.14</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">1.21</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Oxidation-reduction process</bold></td>
</tr>
<tr>
<td valign="top" align="left">573</td>
<td valign="top" align="left">L-ascorbate peroxidase 2, cytosolic</td>
<td valign="top" align="center">3.36</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">3.08</td>
<td valign="top" align="center">0.74</td>
</tr>
<tr>
<td valign="top" align="left">195</td>
<td valign="top" align="left">Lipoxygenase</td>
<td valign="top" align="center">6.49</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">1.74</td>
<td valign="top" align="center">1.46</td>
</tr>
<tr>
<td valign="top" align="left">608</td>
<td valign="top" align="left">Lipoxygenase</td>
<td valign="top" align="center">3.04</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">1.03</td>
</tr>
<tr>
<td valign="top" align="left">354</td>
<td valign="top" align="left">Oxidoreductase GLYR1</td>
<td valign="top" align="center">4.32</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">1.16</td>
</tr>
<tr>
<td valign="top" align="left">743</td>
<td valign="top" align="left">Peroxidase 1</td>
<td valign="top" align="center">2.12</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">7.52</td>
<td valign="top" align="center">1.21</td>
</tr>
<tr>
<td valign="top" align="left">1103</td>
<td valign="top" align="left">Peroxidase 12</td>
<td valign="top" align="center">2.00</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">1.29</td>
</tr>
<tr>
<td valign="top" align="left">651</td>
<td valign="top" align="left">Peroxidase 12</td>
<td valign="top" align="center">2.61</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.82</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.74</td>
</tr>
<tr>
<td valign="top" align="left">240</td>
<td valign="top" align="left">Peroxidase 70</td>
<td valign="top" align="center">6.03</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">327</td>
<td valign="top" align="left">Protein disulfide isomerase</td>
<td valign="top" align="center">4.71</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">1.07</td>
</tr> <tr>
<td valign="top" align="left">362</td>
<td valign="top" align="left">Sulfite oxidase</td>
<td valign="top" align="center">4.26</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">689</td>
<td valign="top" align="left">NADH dehydrogenase (Ubiquinone) 1 alpha subcomplex subunit 5</td>
<td valign="top" align="center">2.28</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">2.88</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Cation transporters</bold></td>
</tr>
<tr>
<td valign="top" align="left">679</td>
<td valign="top" align="left">P-type proton pump ATPase</td>
<td valign="top" align="center">2.39</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7" style="background-color:#bdbec1"><bold>PROTEINS WERE INDUCED ONLY IN CD&#x0002B;ZN STRESS</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Ca metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">109</td>
<td valign="top" align="center">Calcium-binding protein CML7</td>
<td valign="top" align="left">8.62</td>
<td valign="top" align="center">5</td>
<td valign="top" align="left">1.36</td>
<td valign="top" align="center">1.49</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Oxidation-reduction process</bold></td>
</tr>
<tr>
<td valign="top" align="left">1302</td>
<td valign="top" align="left">Peroxidase 2</td>
<td valign="top" align="left">1.40</td>
<td valign="top" align="center">2</td>
<td valign="top" align="left">1.19</td>
<td valign="top" align="center">1.34</td>
<td valign="top" align="center">1.84</td>
</tr>
<tr>
<td valign="top" align="left">245</td>
<td valign="top" align="left">Peroxidase 4</td>
<td valign="top" align="left">6.02</td>
<td valign="top" align="center">6</td>
<td valign="top" align="left">1.09</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td valign="top" align="left">1045</td>
<td valign="top" align="left">Peroxidase 72</td>
<td valign="top" align="left">2.00</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">1.08</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">4.57</td>
</tr>
<tr>
<td valign="top" align="left">511</td>
<td valign="top" align="left">Peroxisome type ascorbate peroxidase</td>
<td valign="top" align="left">3.96</td>
<td valign="top" align="center">2</td>
<td valign="top" align="left">0.82</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">1.74</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Organic acids metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">116</td>
<td valign="top" align="left">Fumarate hydratase 2</td>
<td valign="top" align="left">8.30</td>
<td valign="top" align="center">4</td>
<td valign="top" align="left">1.22</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="center">2.29</td>
</tr>
<tr>
<td valign="top" align="left">537</td>
<td valign="top" align="left">Malate dehydrogenase 1</td>
<td valign="top" align="left">3.63</td>
<td valign="top" align="center">5</td>
<td valign="top" align="left">1.04</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">2.03</td>
</tr>
<tr>
<td valign="top" align="left">815</td>
<td valign="top" align="left">Succinate dehydrogenase</td>
<td valign="top" align="left">2.04</td>
<td valign="top" align="center">2</td>
<td valign="top" align="left">1.49</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">1.60</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Sucrose metabolism</bold></td>
</tr>
<tr>
<td valign="top" align="left">50</td>
<td valign="top" align="left">Triosephosphate isomerase</td>
<td valign="top" align="left">12.00</td>
<td valign="top" align="center">18</td>
<td valign="top" align="left">0.75</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">1.69</td>
</tr>
<tr>
<td valign="top" align="left">786</td>
<td valign="top" align="left">Fructose-bisphosphate aldolase</td>
<td valign="top" align="left">2.06</td>
<td valign="top" align="center">2</td>
<td valign="top" align="left">1.07</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">2.19</td>
</tr>
<tr>
<td valign="top" align="left">187</td>
<td valign="top" align="left">Glucan endo-1,3-beta-glucosidase GI</td>
<td valign="top" align="left">6.66</td>
<td valign="top" align="center">6</td>
<td valign="top" align="left">0.97</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.61</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>a</label>
<p><italic>represents protein identified number</italic>,</p></fn>
<fn id="TN2">
<label>b</label>
<p><italic>represents score, and</italic></p></fn>
<fn id="TN3">
<label>c</label>
<p><italic>represents number of identified peptides</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Numbers of altered proteins which were classified into differentially interactive groups in response to Cd, Zn, and Cd&#x0002B;Zn stresses</bold>.</p></caption>
<graphic xlink:href="fpls-07-01378-g0002.tif"/>
</fig>
<sec>
<title>53 Proteins were altered by all three stresses (Cd, Zn, and Cd&#x0002B;Zn)</title>
<p>The relative abundances of 53 proteins were altered significantly by all three stresses (Cd, Zn, and Cd&#x0002B;Zn; Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM5">5</xref>). Among these, 13 noteworthy proteins participated in either sucrose metabolism (5 proteins), glutathione (GSH) metabolism (5 proteins), or the oxidation-reduction process (3 proteins; Table <xref ref-type="table" rid="T1">1</xref>). However, the relative abundances of other proteins were differentially altered by Cd, Zn, and combined Cd&#x0002B;Zn stresses (Table <xref ref-type="table" rid="T1">1</xref>). For example, the relative abundance of glucose-6-phosphate isomerase (protein 554) was increased by Cd stress but was decreased by both Zn and Cd&#x0002B;Zn stresses. Contrary results were observed for lactoyglutathione lyase (protein 424), as its relative abundance was decreased by Cd stress but was increased by both Zn and Cd&#x0002B;Zn stresses. Further, the relative abundance of cytochrome c oxidase subunit 6B (protein 616) was increased by both Cd and Cd&#x0002B;Zn stresses but was decreased by Zn stress (Table <xref ref-type="table" rid="T1">1</xref>). Thus, our analysis revealed differential molecular responses to Cd, Zn, and Cd&#x0002B;Zn stresses.</p>
</sec>
<sec>
<title>58 Proteins were induced only in response to Cd stress</title>
<p>We identified 58 proteins whose relative abundances were induced only in response to Cd stress (Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM6">6</xref>). Of these, the relative abundances of 23 proteins were increased, and those of 35 proteins were decreased (Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM6">6</xref>). These proteins were not induced by either Zn or combined Cd&#x0002B;Zn stress, which suggests that they might participate in Zn inhibition of Cd uptake and transport. Among the 58 proteins we identified were 18 noteworthy proteins that participated in the oxidation-reduction process (4 down and 4 up), GSH metabolism (2 up and 1 down), sucrose metabolism (2 up), calcium (Ca) metabolism (3 up), or S-adenosyl-<sc>l</sc>-methionine (SAM) metabolism (1 down and 1 up; Table <xref ref-type="table" rid="T1">1</xref>).</p>
</sec>
<sec>
<title>131 Proteins were induced only in response to Zn stress</title>
<p>The relative abundances of 131 proteins were induced only in response to Zn stress (46 up and 85 down; Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM7">7</xref>). That these proteins were not induced in response to either Cd or combined Cd&#x0002B;Zn stress suggests that they might participate in Cd inhibition of Zn uptake. Among the 131 proteins we identified, we classified 26 noteworthy DEPs into four functional groups (Table <xref ref-type="table" rid="T1">1</xref>): Sucrose metabolism (6 down and 2 up), organic acid metabolism (4 down and 2 up), the oxidation-reduction process (4 up and 7 down), and cation transport (1 down).</p>
</sec>
<sec>
<title>61 Proteins were induced in response to both Cd and Zn stresses</title>
<p>We observed 61 DEPs whose relative abundances were altered in response to both Cd and Zn stresses (Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM8">8</xref>). However, under Cd stress, the relative abundances of 24 proteins were increased and 37 were decreased, whereas under Zn stress, 29 were increased and 32 were decreased. We also observed 12 proteins whose relative abundances were altered inversely in response to Cd and Zn stress (Data Sheet <xref ref-type="supplementary-material" rid="SM8">8</xref>, marked by yellow). These proteins were not induced in response to combined Cd&#x0002B;Zn stress, indicating that they might be involved in the mutual inhibition of Cd/Zn. Among the 61 proteins we identified were 5 noteworthy proteins that we divided into three functional pathways (Table 1): The oxidation-reduction process (2), sucrose metabolism (1) and SAM metabolism (2).</p>
</sec>
<sec>
<title>33 Proteins were induced in response to both Cd and Cd&#x0002B;Zn stresses</title>
<p>We identified 33 proteins whose relative abundances were induced in response to both Cd and combined Cd&#x0002B;Zn stresses (Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM9">9</xref>). Under Cd stress, 13 proteins were more abundant, and 20 were less abundant, whereas under Cd&#x0002B;Zn stress, 18 were more abundant, and 15 were less abundant. These results indicate that Cd and Cd&#x0002B;Zn stresses induce differential molecular responses. We also identified 11 proteins whose relative abundances were altered inversely in response to Cd and Cd&#x0002B;Zn, including nicotianamine synthase 2 (NAS; Data Sheet <xref ref-type="supplementary-material" rid="SM9">9</xref>, marked by yellow). That these proteins were not induced in response to Zn stress suggests that they might participate in Cd detoxification of Zn. Among the 33 proteins we identified, 2 proteins were key enzymes in SAM metabolism, 1 was involved in Ca metabolism, and 1 participated in sucrose metabolism (Table <xref ref-type="table" rid="T1">1</xref>).</p>
</sec>
<sec>
<title>57 Proteins were induced in response to both Zn and Cd&#x0002B;Zn stresses</title>
<p>We identified 57 proteins whose relative abundances were induced in response to both Zn and combined Cd&#x0002B;Zn stresses (Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM10">10</xref>). Under Zn stress, 28 proteins were more abundant, and 29 were less abundant, whereas under Cd&#x0002B;Zn stress, 39 were more abundant, and only 18 were less abundant (Data Sheet <xref ref-type="supplementary-material" rid="SM10">10</xref>). These results indicate that Zn and Cd&#x0002B;Zn stresses induce differential molecular responses. We also identified 28 proteins whose relative abundances were altered inversely in response to Zn and Cd&#x0002B;Zn, including glutaredoxin-C8 and glucan 1,3-beta-glucosidase, (Data Sheet <xref ref-type="supplementary-material" rid="SM10">10</xref>, marked by yellow). These proteins were not induced in response to Cd stress, which suggests that they might participate in Zn detoxification of Cd. Among the 57 proteins we identified, 4 proteins functioned in GSH metabolism, 3 were peroxidases involved in the oxidation-reduction process, and 1 was involved in sucrose metabolism (Table <xref ref-type="table" rid="T1">1</xref>).</p>
</sec>
<sec>
<title>47 Proteins were induced only in response to Cd&#x0002B;Zn stress</title>
<p>We identified 47 proteins whose relative abundances were induced only in response to Cd&#x0002B;Zn stress (Figure <xref ref-type="fig" rid="F2">2</xref>, Data Sheet <xref ref-type="supplementary-material" rid="SM11">11</xref>). These proteins were not induced in response to either Cd or Zn stress alone, which suggests that the molecular response induced by Cd&#x0002B;Zn stress differs from that induced by Cd and Zn stresses individually. Of the 47 proteins we identified, 24 proteins were more abundant, and 23 proteins were less abundant (Data Sheet <xref ref-type="supplementary-material" rid="SM11">11</xref>). Among these, we identified 11 noteworthy proteins that functioned in Ca metabolism, the oxidation-reduction process, organic acid metabolism, and sucrose metabolism (Table <xref ref-type="table" rid="T1">1</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Interactions between Cd and Zn have previously been shown to be antagonistic and/or synergistic in various plants (Hart et al., <xref ref-type="bibr" rid="B14">2002</xref>, <xref ref-type="bibr" rid="B13">2005</xref>; Sun et al., <xref ref-type="bibr" rid="B43">2005</xref>; Tkalec et al., <xref ref-type="bibr" rid="B46">2014</xref>). In the present study, Cd uptake was inhibited by Zn and Zn uptake was inhibited by Cd in DPW roots (Figure <xref ref-type="fig" rid="F1">1</xref>). Cd transport from root to shoot was inhibited by Zn (Figure <xref ref-type="fig" rid="F1">1A</xref>) but was promoted by Zn after 5 days after treatment (unpublished data). Meanwhile, Zn transport from root to shoot was not affected by Cd (Figure <xref ref-type="fig" rid="F1">1B</xref>). These results indicate that Cd and Zinc interact antagonistically in DPW seedlings, as previously reported in bread and durum wheat (Hart et al., <xref ref-type="bibr" rid="B14">2002</xref>, <xref ref-type="bibr" rid="B13">2005</xref>; Sun et al., <xref ref-type="bibr" rid="B43">2005</xref>) and unlike the synergistic interactions that have been reported in other wheat under field conditions (Nan et al., <xref ref-type="bibr" rid="B31">2002</xref>).</p>
<p>Proteomic changes in the roots implicated several proteins in the antagonistic interactions of Cd/Zn (Data Sheets <xref ref-type="supplementary-material" rid="SM1">1</xref>&#x02013;<xref ref-type="supplementary-material" rid="SM11">11</xref>). Two days after treatment, the relative abundances of 206 (Data Sheet <xref ref-type="supplementary-material" rid="SM2">2</xref>), 303 (Data Sheet <xref ref-type="supplementary-material" rid="SM3">3</xref>), and 190 (Data Sheet <xref ref-type="supplementary-material" rid="SM4">4</xref>) proteins were induced in response to Cd, Zn, and Cd&#x0002B;Zn stresses, respectively (Figure <xref ref-type="fig" rid="F2">2</xref>). Among these, 53 proteins were induced in response to all three treatments, and 58, 131, and 47 proteins were induced in response to only Cd, Zn, or Cd&#x0002B;Zn stresses, respectively (Figure <xref ref-type="fig" rid="F2">2</xref>). We grouped these proteins into different interactions of Cd/Zn (Figure <xref ref-type="fig" rid="F2">2</xref>). Our results indicate that although Cd and Zn have similar physical and chemical properties (Chesworth, <xref ref-type="bibr" rid="B6">1991</xref>) and pathways for uptake (Grant et al., <xref ref-type="bibr" rid="B12">1998</xref>), they induce differential molecular responses (Lin and Arats, <xref ref-type="bibr" rid="B28">2012</xref>), which result in the antagonistic interactions of Cd/Zn in DPW roots (Figure <xref ref-type="fig" rid="F1">1</xref>) and the high tolerance of DPW to Cd and Zn toxicity (Wang X. et al., <xref ref-type="bibr" rid="B49">in press</xref>). Some proteins identified in this study that are involved in noteworthy processes are discussed below.</p>
<p>To overcome oxidative toxicity caused by heavy metal stresses (Ranieri et al., <xref ref-type="bibr" rid="B34">2005</xref>; Lin et al., <xref ref-type="bibr" rid="B27">2007</xref>; Kieffer et al., <xref ref-type="bibr" rid="B21">2008</xref>; Di Baccio et al., <xref ref-type="bibr" rid="B8">2011</xref>; Zeng et al., <xref ref-type="bibr" rid="B58">2011</xref>), plants utilize an effective antioxidant system that protects their cells against oxidative damage (Kieffer et al., <xref ref-type="bibr" rid="B21">2008</xref>; Di Baccio et al., <xref ref-type="bibr" rid="B8">2011</xref>) by inducing the expression of oxidation-reduction-related proteins (Lin et al., <xref ref-type="bibr" rid="B27">2007</xref>; Kieffer et al., <xref ref-type="bibr" rid="B21">2008</xref>, <xref ref-type="bibr" rid="B22">2009</xref>; Di Baccio et al., <xref ref-type="bibr" rid="B8">2011</xref>; Zeng et al., <xref ref-type="bibr" rid="B58">2011</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). In this study, 31 oxidation-reduction-related proteins were observed (Table <xref ref-type="table" rid="T1">1</xref>). Of these, 8, 11, and 4 proteins were altered in response to Cd, Zn, and Cd&#x0002B;Zn stresses, respectively (Table <xref ref-type="table" rid="T1">1</xref>). These results suggest that Cd, Zn, and Cd&#x0002B;Zn stresses cause differential oxidative threats which are detoxified through the induction of different oxidation-reduction-related proteins. Conversely, 8 Cd-induced proteins, 11 Zn-induced proteins, and 2 proteins induced by both Cd and Zn stresses were not induced in response to combined Cd&#x0002B;Zn stress, which suggests that the oxidative threats caused by Cd and Zn stresses are not the same as those caused by Cd&#x0002B;Zn stress. These results indicate that Cd and Zn detoxify each other in combined Cd&#x0002B;Zn stress, resulting in their uptakes being inhibited by each other. As described in previous studies (Kieffer et al., <xref ref-type="bibr" rid="B21">2008</xref>, <xref ref-type="bibr" rid="B22">2009</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>), Cd and Zn induced a greater abundance of some oxidative stress-related proteins but also induced a lower abundance of other oxidative stress-related proteins (Table <xref ref-type="table" rid="T1">1</xref>). Among these, 3 proteins were induced by all 3 stresses (Cd, Zn, and Cd&#x0002B;Zn) (Table <xref ref-type="table" rid="T1">1</xref>), including ascorbate peroxidase (protein 285), L-ascorbate peroxidase 2 (protein 573), and peroxisome type ascorbate peroxidase (protein 511), which are key peroxide detoxification enzymes (Raven et al., <xref ref-type="bibr" rid="B35">2004</xref>). These results suggest that ascorbate mediates Cd- and Zn-induced oxidative stress in plants (Kieffer et al., <xref ref-type="bibr" rid="B21">2008</xref>).</p>
<p>In response to Cd and Zn stresses, plants form heavy metal-glutathione (GSH) or metal-phytochelation (PC) compounds for metal detoxification (Seth et al., <xref ref-type="bibr" rid="B38">2012</xref>; Jozefczak et al., <xref ref-type="bibr" rid="B18">2015</xref>). GSH metabolism-related proteins, such as glutathione S-transferase (GST) and glutaredoxin (Grx), are differentially induced by Cd or Zn stress (Ahsan et al., <xref ref-type="bibr" rid="B1">2009</xref>; Alvarez et al., <xref ref-type="bibr" rid="B2">2009</xref>; Kieffer et al., <xref ref-type="bibr" rid="B22">2009</xref>; Smiri et al., <xref ref-type="bibr" rid="B40">2011</xref>; Zeng et al., <xref ref-type="bibr" rid="B58">2011</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). Meanwhile, GSTs translocate compounds of GSH-cytotoxic substrates into vacuoles for detoxification (Kumar et al., <xref ref-type="bibr" rid="B24">2013</xref>). In this study, all three stresses (Cd, Zn, and Cd&#x0002B;Zn) induced GST (protein 405), Grx (protein 141), lactoyglutathione lyase (proteins 424), and 2 sulfate metabolism-related proteins [sulfurtransferase (protein 540) and ATP sulfurylase (protein 112)] (Table <xref ref-type="table" rid="T1">1</xref>), suggesting that sulfate availability for the synthesis of metal chelations such as GSH (Speiser et al., <xref ref-type="bibr" rid="B41">1992</xref>) determines Cd and Zn tolerance (Nocito et al., <xref ref-type="bibr" rid="B32">2006</xref>; Alvarez et al., <xref ref-type="bibr" rid="B2">2009</xref>). Additionally, 3 GSH metabolism-related proteins, including glutamine synthetase cytosolic isozyme 1-2 (protein 210), GST (protein 696) and lactoyglutathione lyase (proteins 135), were induced only in response to Cd stress (Table <xref ref-type="table" rid="T1">1</xref>), suggesting that Cd is detoxified through sequestration of GSH-Cd compounds into vacuoles and subsequent reduction of oxidative stress (Seth et al., <xref ref-type="bibr" rid="B38">2012</xref>; Jozefczak et al., <xref ref-type="bibr" rid="B18">2015</xref>). However, these proteins were not induced in response to combined Cd&#x0002B;Zn stress, which partly illustrates Zn detoxification of Cd. Interestingly, 2 GSTs (proteins 79 and 731) and 2 Grxs (proteins 384 and 472) were induced in response to both Zn and Cd&#x0002B;Zn stresses (Table <xref ref-type="table" rid="T1">1</xref>), similar to the results obtained for some GSTs induced by Zn stress in <italic>Noccaea caerulescens</italic> (Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). These results suggest that these proteins participate in the detoxification of Zn stress-induced reactive oxygen species (Dixon et al., <xref ref-type="bibr" rid="B9">2009</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>).</p>
<p>As a precursor of GSH, SAM plays important roles in protecting against Cd stress-induced reactive oxygen species (ROS) (Noriega et al., <xref ref-type="bibr" rid="B33">2007</xref>). In the present study, protein levels of serine hydroxymethyltransferase (SHMT) and spermidine synthase 1, key enzymes in SAM metabolism, were altered in response to both Cd and Zn stresses, suggesting that SAM plays important roles in protecting against these stresses. S-adenosylmethionine synthase (SAMS) synthesizes SAM, which is a precursor of nicotianamine (NA) (Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). The protein level of nicotianamine synthase 2 (NAS), which synthesizes nicotianamine (NA) from SAM, increased in response to Cd stress. NA is an essential compound for cell-to-cell transport of Zn, Fe, and Cu (Takahashi et al., <xref ref-type="bibr" rid="B44">2003</xref>; Klatte et al., <xref ref-type="bibr" rid="B23">2009</xref>). However, the abundances of both SAMS and NAS decreased in response to combined Cd&#x0002B;Zn stress, whereas a previous report in <italic>N. caerulescens</italic> showed increased SAMS and NAS levels in response to Zn stress (Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). Our results partially illustrate Cd inhibition of Zn uptake. Cd stress also causes the lignification of roots (Finger-Teixeira et al., <xref ref-type="bibr" rid="B10">2010</xref>). SAM provides the methyl donor to caffeic acid 3-O-methyltransferase (COMT) in lignin biosynthesis (Wang Y. et al., <xref ref-type="bibr" rid="B51">2016</xref>). COMT levels were increased only in response to Cd stress (Table <xref ref-type="table" rid="T1">1</xref>), suggesting that Cd also causes root lignification.</p>
<p>Some organic acids such as oxalate, malate, citrate, and fumarate are induced by Cd and Zn stress (Ueno et al., <xref ref-type="bibr" rid="B47">2005</xref>; L&#x000F3;pez-Mill&#x000E1;n et al., <xref ref-type="bibr" rid="B29">2009</xref>; Zhu et al., <xref ref-type="bibr" rid="B59">2011</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>) and form metal-organic acid complexes to act as metal chelators to promote detoxification in <italic>planta</italic> (Verbruggen et al., <xref ref-type="bibr" rid="B48">2009</xref>). Further, Cd and Zn also induce key enzymes that participate in organic acid metabolism (L&#x000F3;pez-Mill&#x000E1;n et al., <xref ref-type="bibr" rid="B29">2009</xref>; Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). In this study, Zn stress induced several of these enzymes (Table <xref ref-type="table" rid="T1">1</xref>), including malate dehydrogenase (protein 58), isocitrate dehydrogenase (protein 225), aconitate hygratase (protein 39), citrate synthase 4 (protein 82), and oxalate oxidase GF-2.8 (protein 376). These results suggest that detoxification of Zn could be achieved through the formation of Zn-organic acid complexes and subsequently, the complexes are deposited into vacuoles (Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). Conversely, organic acid secretion is associated with Cd and Zn exclusion (Zhu et al., <xref ref-type="bibr" rid="B59">2011</xref>). Combined Cd&#x0002B;Zn stress resulted in decreased abundances of furmarate hydratase 2 (protein 116), malate dehydrogenase 1 (protein 537) and succinate dehydrogenase (815), which are key enzymes in furmarate, malate, and citrate metabolisms, respectively (Table <xref ref-type="table" rid="T1">1</xref>). Thus, our results partially illustrate the mutually inhibited uptake of Cd/Zn in the roots (Figure <xref ref-type="fig" rid="F1">1</xref>).</p>
<p>Cellulose and pectic polysaccharides are major components of the plant cell wall (Cosgrove, <xref ref-type="bibr" rid="B7">2005</xref>), which can be modified by some heavy metals. For example, Cd enhances the contents of glucose and polysaccharides in cell walls (Li et al., <xref ref-type="bibr" rid="B26">2015</xref>). Further, exogenous glucose alleviates Cd toxicity by increasing Cd fixation in root cell walls (Shi et al., <xref ref-type="bibr" rid="B39">2015</xref>). In this study, several sucrose metabolism-related proteins were induced by Cd, Zn, or Cd&#x0002B;Zn stress (Table <xref ref-type="table" rid="T1">1</xref>), suggesting that glucose and/or polysaccharides participate in Cd and Zn fixation, exclusion or sequestration in root cell walls (Li et al., <xref ref-type="bibr" rid="B26">2015</xref>; Shi et al., <xref ref-type="bibr" rid="B39">2015</xref>). However, 8 sucrose metabolism-related proteins were induced in response to Zn stress but not combined Cd&#x0002B;Zn stress (Table <xref ref-type="table" rid="T1">1</xref>), which suggests that Cd detoxifies excess Zn by inhibiting its uptake, resulting in Cd-induced inhibition of Zn modification of sucrose metabolism.</p>
<p>Zn stress also affects the expression of P-type ATPases and several other metal transporters (Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). P-type ATPases, such as AtHMA4 from <italic>Arabidopsis</italic>, GmHMA3 from soybean and AhHMA3 from <italic>A. halleri</italic>, have Zn uptake activity (Becher et al., <xref ref-type="bibr" rid="B4">2004</xref>; Hussain et al., <xref ref-type="bibr" rid="B17">2004</xref>; Wang et al., <xref ref-type="bibr" rid="B53">2012</xref>). Further, AtHMA2, 3, and 4 have been shown to transport Zn from root to shoot (Williams and Mills, <xref ref-type="bibr" rid="B54">2005</xref>). In this study, the abundance of a P-type proton pump ATPase (protein 679) decreased in response to Zn stress but not combined Cd&#x0002B;Zn stress (Table <xref ref-type="table" rid="T1">1</xref>), a result which contradicts previous work in <italic>N. caerulescens</italic> showing increased abundance of two P-type ATPases in response to Zn stress (Schneider et al., <xref ref-type="bibr" rid="B37">2013</xref>). However, we found that other Zn-induced metal transporters were not observed 2 days after treatment, but their transcripts were regulated by Cd, Zn, and Cd&#x0002B;Zn 5 days after treatment (unpublished data).</p>
<p>Finally, as reported by previous studies (Di Baccio et al., <xref ref-type="bibr" rid="B8">2011</xref>; Zeng et al., <xref ref-type="bibr" rid="B58">2011</xref>), proteins that were similarly or differentially induced in response to Cd, Zn, and/or Cd&#x0002B;Zn stresses also participated in other processes, including ribosome biogenesis, DNA metabolism, protein folding/modification (all SFiles), suggesting that these proteins might contribute to differential defense mechanisms against these stresses (Zeng et al., <xref ref-type="bibr" rid="B58">2011</xref>).</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Taken together, our results indicate that Cd and Zn interact antagonistically in DPW seedlings. Although 206, 303, and 190 proteins were induced in response to Cd, Zn, and Cd&#x0002B;Zn stresses, respectively, only 53 proteins were induced in response to all three stresses. 58, 131, and 47 proteins were induced only in response to Cd, Zn, and Cd&#x0002B;Zn stresses, respectively (Figure <xref ref-type="fig" rid="F2">2</xref>). These proteins could be divided into groups that resulted in different Cd/Zn interactions. Our results suggest that Zn and Cd stresses cause differential molecular responses in DPW. Under these stresses, oxidative stress-related proteins, metal chelators, metabolism-related proteins, sucrose metabolism-related proteins, and metal transporters are differentially induced to participate in metal detoxification, which ultimately causes antagonistic interactions and enhanced tolerance of Cd and Zn.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>YW, XW, XX, and YZ conceived and designed research, and wrote the manuscript. YW, XW, XX, CW, FP, and RW conducted experiments. YW, XW, JZ, HK, XF, LS, and HZ analyzed data. All authors read and approved the manuscript.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack>
<p>The authors thank the National Natural Science Foundation of China (No. 31301349, 31270243, and 31470305), Bureau of Science and Technology and Bureau of Education of Sichuan Province, China. We would like to thank Lu Gao (Guangzhou Fitgene Biotechnology Co., Ltd) for useful advice and discussion.</p>
</ack>
<sec sec-type="supplementary-material" id="s7">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fpls.2016.01378">http://journal.frontiersin.org/article/10.3389/fpls.2016.01378</ext-link></p>
<supplementary-material xlink:href="DataSheet1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 1</label>
<caption><p><bold>Information about proteins identified in this study</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 2</label>
<caption><p><bold>Proteins induced by Cd stress</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet3.xlsx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 3</label>
<caption><p><bold>Proteins induced by Zn stress</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet4.xlsx" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 4</label>
<caption><p><bold>Proteins induced by Cd&#x0002B;Zn stress</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet5.xlsx" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 5</label>
<caption><p><bold>Proteins induced by all three treatments</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet6.xlsx" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 6</label>
<caption><p><bold>Proteins induced only by Cd stress</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet7.xlsx" id="SM7" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 7</label>
<caption><p><bold>Proteins induced only by Zn stress</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet8.xlsx" id="SM8" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 8</label>
<caption><p><bold>Proteins induced by both Cd and Zn stresses</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet9.xlsx" id="SM9" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 9</label>
<caption><p><bold>Proteins induced by both Cd and Cd&#x0002B;Zn stresses</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet10.xlsx" id="SM10" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 10</label>
<caption><p><bold>Proteins induced by both Zn and Cd&#x0002B;Zn stresses</bold>.</p></caption></supplementary-material>
<supplementary-material xlink:href="DataSheet11.xlsx" id="SM11" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink">
<label>Data Sheet 11</label>
<caption><p><bold>Proteins induced only by Cd&#x0002B;Zn stress</bold>.</p></caption></supplementary-material>
</sec>
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